Statistics Applied to Psychology II

Code:

LPSI109

Acronym:

EAPII

Keywords
Classification	Keyword
OFICIAL	Methods

Instance: 2025/2026 - 2S

Active?	Yes
Web Page:	http://moodle.up.pt/
Responsible unit:	Psychology
Course/CS Responsible:	First degree in Psychology

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LPSIC	266	Official Curricular Structure	1	-	6	54	162

Teaching language

Portuguese

Objectives

The learning objectives in this course are :

1. To know the statistical procedures relevant to Psychology;
2. to identify and apply the statistical procedures appropriate to the research objectives;
3. To promote skills in using a data analysis program;
4. To support skills of critical analysis and interpretation of results;
5. To support the plan and development of studies, based on research hypothesis, that allows the application of the taught statistical procedures.

Learning outcomes and competences

In this curricular unit (CU), it is intended for students to acquire the necessary skills to perform and interpret statistical tests that are relevant in the context of Psychology. Students should also learn specific vocabulary and the ability to understand scientific literature, as well as produce statistical reports.

The learning objectives designed for the student in this course are as follows:

1. Know the statistical procedures relevant to Psychology;


2. Select and apply the statistical procedures appropriate to the research objectives;


3. Develop skills in using a data analysis program;


4. Acquire skills of critical analysis and interpretation of results;


5. Plan and carry out studies, based on research hypothesis, that allows the application of the taught statistical procedures.

Working method

Presencial

Program

The contents of this CU are divided into two parts. In the first part, the parametric hypothesis tests are addressed, and in the second part, the nonparametric tests alternative to the parametric ones.

The detailed program is as follows:

1. Parametric tests
2. Analysis of variance (ANOVA) with one factor
3. Multiple Linear Regression
4. Multiple Binary Logistic Regression
5. Nonparametric tests
6. Hypothesis testing for nominal and ordinal variables
7. Measures of association for nominal and ordinal variables

Mandatory literature

Costa, P. & Nascimento, I.; Estatística nas Ciências Sociais - diapositivos das aulas de EST I on-line, 2012
American Psychological Association; Publication manual of the American Psychological Association. ISBN: 1-4338-0561-8
Hair Joseph F. 070; Multivariate data analysis. ISBN: 0-13-930587-4
Maroco João; Análise estatística com utilização do SPSS. ISBN: 972-618-331-6
Tabachnick Barbara G.; Using multivariate statistics. ISBN: 0-321-05677-9
Siegel Sydney; Estatística não paramétrica

Complementary Bibliography

Bryman Alan; Análise de dados em ciências sociais. ISBN: 972-774-169-X
Pestana Maria Helena; Análise de dados para ciências sociais. ISBN: 972-618-220-4

Teaching methods and learning activities

Learning-assessment methodologies are aimed at student-centered practices, either by self-learning processes or by using methods of group discussion and debates, in an interactive classroom, and with a relevant component of formative feedback. Additionally, students are exposed to assessment in a training environment.

Software

IBM SPSS Statistics

keywords

Social sciences > Psychological sciences > Psychology
Physical sciences > Mathematics > Statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	70,00
Trabalho escrito	30,00
Total:	100,00

Amount of time allocated to each course unit

designation	Time (hours)
Estudo autónomo	74,00
Frequência das aulas	56,00
Trabalho de investigação	32,00
Total:	162,00

Eligibility for exams

Presence of at least 75% of classes provided.

Calculation formula of final grade

Practical group work is optional and has a weighting of 30% of the final grade.

For students doing the assignment, the final grade will be the result of the weighted average of the final written exam grade and the assignment grade, on a scale of 0 to 20 points, and have to score a minimum of 8 (eight) values in the two evaluation components.

Students not doing the assignment will have to score a minimum of 10 (ten) values in the final exam.

Special assessment (TE, DA, ...)

Students with special status who wants to gain acess to the respective  rights must inform the teacher(s) atthe beginning of the semester and take a practical exam in the last week of classes with approved or not approved vs. inept results. Students who are not approved in  this exam, fail the UC

 

Classification improvement

Students may register for examination to improve their grade, only once, until the last evaluation period of the following school year in which they approved and the course has provided an examination. There is no possibility of improvement in the practical component "written work".